Job Title

The job responsibilities include the following:- Clearly Setting Project Objectives with the Client – Take initiatives to identify opportunities and develop problem statements to be worked upon. - Data Extraction, Cleansing and Manipulation – Handle large volume of data, research for variables and work with structured/unstructured data. - Predictive Modelling – Development of models using appropriate predictive analytics techniques - Model Documentation – Clear and Detailed Documentation of the modelling procedures. - Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client needWe are also looking for a go getter person who can define:- Analytic strategies to meet the demands of business requirements - Technical requirements of the analytic solutions - Data requirements of the analytic solution processes - The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data science - Engages in technical problem solving across multiple technologies; often needs to develop new solutions - A suitable candidate should have 8-12 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity - Experience in insurance preferred but not mandatory.Personal Qualifications- Deep understanding of Analytics - Strong communicator and team player. Should have experience in client interactions.Required Education and Skills- Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.) - Strong IT skills - Hands on experience in Machine Learning, Data Analysis and Data Preparation tools like Python, Pyspark, SQL, and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification